code: def regression_data():
      X, y = make_regression(
          1000, 20, n_informative=10, bias=0, random_state=0
      )
      X, y = X.astype(np.float32), y.astype(np.float32).reshape(-1, 1)
      Xt = StandardScaler().fit_transform(X)
      yt = StandardScaler().fit_transform(y)
      return Xt, yt
  
file_path: skorch/skorch/tests/conftest.py
imports: import numpy
  import pytest
  from sklearn.datasets import make_classification
  from sklearn.datasets import make_regression
  from sklearn.preprocessing import StandardScaler
  import torch
  from torch import nn
label_desc: Use image node_id 6 for calling a global function with example usage: regression_data() and returns: Xt,  yt